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Otsuka Pharmaceutical Companies (U.S.)
Otsuka Pharmaceutical Companies (U.S.)
1,001 – 5,000 Employees
BiotechnologyHealthcarePharmaceuticals
Otsuka Pharmaceutical Companies (U.S.) brings together pharmaceutical businesses focused on advancing healthcare through product commercialization and clinical development. Otsuka America Pharmaceutical, Inc. commercializes Otsuka-discovered and in-licensed medicines in North America, while Otsuka Pharmaceutical Development & Commercialization, Inc. leads clinical development and global registration of innovative healthcare products, with particular expertise in neuroscience. Together, these organizations operate across pharmaceuticals, healthcare, and biotechnology with a focus on developing solutions that support better health.
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Associate Director, AI and Data Scientist - Otsuka, New Jersey Remote

Lead AI, machine learning, and agentic solution development for Otsuka’s pharmaceutical R&D operations. Shape enterprise AI product strategy, deployment, and cross-functional transformation.

USUnited StatesNJNew Jersey
$169,222 – $253,000 / year
RemoteFull-timeSeniorEnglish RequiredData Scientist
AWSSDLC

Description

  • Create AI product visions and roadmaps that reflect business priorities, technology developments, and market conditions
  • Advance Data Science and AI portfolio goals while supporting data and analytics strategies for R&D Operations
  • Build, train, fine-tune, validate, and assess AI and machine learning models for business needs
  • Deliver enterprise AI systems using prompt engineering, embeddings, fine-tuning, large language models, and generative AI
  • Run proof-of-concept initiatives and create AI applications that strengthen analytics and speed drug development
  • Track product performance through data analysis and KPIs, using findings to inform decisions
  • Develop AI solutions from pharmaceutical R&D, drug development, clinical trial, and external healthcare data
  • Create user-focused AI products that earn trust, encourage adoption, and enable organizational transformation
  • Advise on AI ecosystems, platforms, frameworks, architectures, and emerging technical capabilities
  • Support developers, technical staff, and vendors with guidance on AI concepts and implementation
  • Architect, build, and deploy agentic AI systems incorporating perception, planning, reasoning, orchestration, execution, and reflection
  • Manage AI solution lifecycles and updates through MLOps and LLMOps practices and tools
  • Lead AI adoption, enablement, change management, and responsible-use initiatives
  • Assess AI and machine learning use cases against applicable guidelines, frameworks, platform components, and responsible AI standards
  • Create reusable data and AI components and encourage scalable reuse across functions
  • Direct cross-functional groups spanning technical, semi-technical, and business stakeholders
  • Report AI progress, results, impact, constraints, and risks to stakeholders
  • Work with internal functions and external partners to conceive, build, and co-develop AI and machine learning capabilities
  • Coordinate with legal, privacy, and ethics teams on bias, fairness, transparency, and data privacy
  • Work effectively through iterative experimentation while navigating ambiguity in AI product development

Requirements

  • Master’s degree in Data Science, Computer Engineering, Computer Science, Physics, Statistics, Information Systems, or a related field focused on advanced data science, AI, and machine learning
  • Expertise using real-world data assets to produce scientific evidence and improve operational effectiveness and efficiency
  • Advanced knowledge of data engineering, data representation, generative AI, artificial intelligence, and machine learning methods
  • Experience designing architectures and delivering AI and machine learning use cases
  • Background developing AI products that combine AI, Data Science, and Machine Learning
  • Thorough understanding of AI and machine learning applications in the pharmaceutical industry
  • Experience with Dataiku Data Science Studio, Snowflake, AWS SageMaker, or comparable data science platforms
  • Knowledge of integrating machine learning and AI technologies with data engineering pipelines
  • Strong command of the Software Development Life Cycle and the data science development lifecycle, including CRISP
  • Awareness of testing and validation practices for GxP and non-GxP environments
  • Experience engineering software or products based on AI and machine learning
  • Familiarity with testing, validation, and GxP validation principles
  • Experience designing, building, and sustaining large-scale data and AI solutions in scientific, regulated, or research-intensive settings
  • Pharmaceutical, biotech, or life sciences experience—especially in drug development, clinical trials, or R&D—is highly desirable
  • Demonstrated success delivering generative AI and large language model applications into production
  • Experience using claims, clinical trial, regulatory, quality, and other life sciences operations data
  • Demonstrated delivery of proof-of-concept and production-grade AI, machine learning, generative AI, and LLM applications
  • Understanding of data collection, governance, and structuring challenges that affect AI outcomes
  • Excellent communication and stakeholder management abilities
  • Strong cross-functional collaboration and project management capabilities

Benefits

  • Opportunity to earn incentive compensation
  • Medical, dental, vision, and prescription drug coverage
  • Employer-provided basic life insurance
  • Accidental death and dismemberment insurance
  • Short- and long-term disability coverage
  • Tuition reimbursement
  • Student loan assistance
  • Generous 401(k) matching contribution
  • Flexible time off
  • Paid holidays
  • Paid leave programs
  • Additional employer-provided benefits

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